Case Study: Johnson & Johnson improves forecast accuracy and unit fill rate with Capgemini

Johnson & Johnson transforms its demand planning and external manufacturing processes

Johnson & Johnson sought to optimize its demand planning and external manufacturing processes to enhance forecast accuracy, reduce inventory, and improve the customer experience across its EMEA operations. To meet this challenge, the company partnered with Capgemini.

Capgemini implemented a central planning hub powered by advanced data science to transform these critical operations. The solution led to significant benefits, including up to a 15% relative improvement in forecast accuracy, a 97% Unit Fill Rate, and over 98% accuracy for master data and process adherence, enabling Johnson & Johnson to meet customer demand more effectively.

Johnson & Johnson